Stripe is a financial services company that provides payment processing software and applications geared toward developers. Stripe’s developer tools are extremely robust and the Stripe Sigma interface allows programmers to create custom reports using SQL. However, merchants without a developer on their team, as well as those who want to easily blend their Stripe analytics with data from other sources, may find themselves in need of a better solution. With Panoply’s code-free cloud data platform, merchants can effortlessly sync, store, and combine their valuable Stripe data with 300+ data sources and destinations. Merchants use Panoply to combine their Stripe data with data sources like Google Ads, Magento, and HubSpot, and business intelligence tools like Power BI and Tableau, to unlock essential analytics for their business.
Mode Analytics makes it easy for analysts collaborate and to analyze data in SQL, R, and Python. Mode’s analyst-friendly workflow allows you to query Panoply in SQL then perform complex analytics in R and Python without changing tools. Mode also outputs to Slack for sharing and team collaboration. You can do more faster in Mode with the Panoply one-click integration. The Panoply all-in-one ETL tool expands Mode’s data processing capabilities by uploading data from any source. Panoply saves prep work time because it automatically sorts, processes, and stores all data types in one place. This fully cloud-integrated ETL pipeline continuously streams your latest cleaned data from source to output. So your charts, dashboards, and reports always display the most relevant analytics.